Course Syllabus for

Advanced Topics in Computer Vision
Datorseende avancerad kurs

FMA315F, 7.5 credits

Valid from: Autumn 2023
Decided by: Maria Sandsten
Date of establishment: 2023-10-03

General Information

Division: Mathematics
Course type: Third-cycle course
Teaching language: English


This course will cover advanced topics in computer vision with a focus on geometry,


Knowledge and Understanding

For a passing grade the doctoral student must

Competences and Skills

For a passing grade the doctoral student must

Course Contents

Topics covered in the course include simultaneous localization and mapping (SLAM), structure from motion (SFM), and visual localization. Topics will include both traditional methods and recent developments in deep learning-based approaches.

Course Literature

Vetenskapliga artiklar som belyser både historik och nuvarande forskningsfront inom området.

Instruction Details

Types of instruction: Seminars, self-study literature review

Examination Details

Examination format: Seminars given by participants
Grading scale: Failed, pass

Admission Details

Course Occasion Information

Contact and Other Information

Course coordinators:

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